ProtoNet\(^{\dag }\):
All of our baselines, including prototypical networks, incorporate temperature scaling with initial value set to \(\frac{1}{d}\) , where \(d\)  is the latent dimensionality of the feature extractor. While the original prototypical network paper [1]} did not incorporate this practice, it has become common in subsequent work and has been shown to improve performance [2]}, [3]}, [4]}.
